Multi-objective genetic algorithm (MOGA) has the advantages of high accuracy, fast solution speed and stronger applicability in multi-objective problem solving and parameter optimization. Many groups ...

In order to solve the challenge of multi-objective optimization of automotive power train, in view of the shortcomings of the existing improved particle swarm optimization algorithm, an innovative ...

In light of this, the research uses Multi-Objective Genetic Algorithm (MOGA) optimized Convolutional Neural Networks (CNN) for the diagnosis of pancreatic tumours. The process begins with image ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...